Paper 2, Section II, H

Linear Analysis | Part II, 2009

For 1⩽p<∞1 \leqslant p<\infty and a sequence x=(x1,x2,…)x=\left(x_{1}, x_{2}, \ldots\right), where xj∈Cx_{j} \in \mathbb{C} for all j⩾1j \geqslant 1, let ∥x∥p=(∑j=1∞∣xj∣p)1/p.\|x\|_{p}=\left(\sum_{j=1}^{\infty}\left|x_{j}\right|^{p}\right)^{1 / p} .

Let ℓp={x=(x1,x2,…):xj∈C\ell^{p}=\left\{x=\left(x_{1}, x_{2}, \ldots\right): x_{j} \in \mathbb{C}\right. for all j⩾1j \geqslant 1 and ∥x∥p<∞}\left.\|x\|_{p}<\infty\right\}.

(a) Let p,q>1p, q>1 with 1/p+1/q=1,x=(x1,x2,…)∈ℓp1 / p+1 / q=1, x=\left(x_{1}, x_{2}, \ldots\right) \in \ell^{p} and y=(y1,y2,…)∈ℓqy=\left(y_{1}, y_{2}, \ldots\right) \in \ell^{q}. Prove Hölder's inequality:

∑j=1∞∣xj∥yj∣⩽∥x∥p∥y∥q\sum_{j=1}^{\infty}\left|x_{j}\left\|y_{j} \mid \leqslant\right\| x\left\|_{p}\right\| y \|_{q}\right.

(b) Use Hölder's inequality to prove the triangle inequality (known, in this case, as the Minkowski inequality):

∥x+y∥p⩽∥x∥p+∥y∥p for every x,y∈ℓp and every 1<p<∞\|x+y\|_{p} \leqslant\|x\|_{p}+\|y\|_{p} \quad \text { for every } x, y \in \ell^{p} \quad \text { and every } 1<p<\infty

(c) Let 2⩽p<∞2 \leqslant p<\infty and let KK be a closed, convex subset of ℓp\ell^{p}. Let x∈ℓpx \in \ell^{p} with x∉Kx \notin K. Prove that there exists y∈Ky \in K such that

∥x−y∥=inf⁡z∈K∥x−z∥.\|x-y\|=\inf _{z \in K}\|x-z\| .

[You may use without proof the fact that for every 2⩽p<∞2 \leqslant p<\infty and for every x,y∈ℓpx, y \in \ell^{p},

∥x+y∥pp+∥x−y∥pp⩽2p−1(∥x∥pp+∥y∥pp).]\left.\|x+y\|_{p}^{p}+\|x-y\|_{p}^{p} \leqslant 2^{p-1}\left(\|x\|_{p}^{p}+\|y\|_{p}^{p}\right) .\right]

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